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Description

When can we say that a business is successful?
Which are the techniques corporations use to monitor their performance?
What makes for an effective analytics project?
If these questions sound interesting and you want to learn about business analytics, then you’ve come to the right place.
This course is an invaluable journey, in which we will layout the foundations of your superior business analytics skills. You will start developing abilities that are highly necessary in any type of business environment, but particularly so when working for a large blue-chip corporation -running a complex business.
In this course, you will learn how to:
- Define business expectations
- Distinguish between a long-range plan and an annual business plan
- Perform stakeholder mapping
- Understand what business intelligence is and why it is essential for every modern company
- Carry out end-to-end process mapping
- Become familiar with the main types of end-to-end processes in a corporation: Hire-to-Retire (H2R), Record-to-Report (R2R), Order-to-Cash (O2C), Source-to-Pay (S2P)
- Identify key value drivers
- What are metrics and what distinguished metrics and KPIs
- Perform internal and external benchmarking
- Understand the importance of the Master data function
- Carry out historical analysis, variance analysis, trend analysis, value-based analysis, correlation, time series, regression, as well as machine and deep learning analysis
- Determine which is the most appropriate type of analysis depending on the problem at hand
- Acquire an understanding of how to manage an analytics project
- Gain an understanding of what makes for a successful analytics project
All of this will be taught by an instructor with world-class experience. Randy Rosseel has worked in the Coca-Cola ecosystem for a bit more than 16 years.
He has been a business controller, а senior manager of planning and consolidation, an associate director of planning and performance management; and, ultimately, a director of finance responsible for hundreds of employees.
Each of the topics in the course builds on the previous ones. And you risk getting lost along the way if you do not acquire these skills in the right order. For example, one would struggle to understand how to identify KPIs if they are not introduced to Stakeholder and end-to-end process mapping first.
So far, we have not seen other comparable training programs online. We believe that this is a unique opportunity to learn from a proven professional who has 360 degrees view of the analytics processes in one of the most recognizable companies in the world.
What you get
A well-prepared and structured business analytics training
Active Q&A support
Course notes
Hands-on exercises
Quiz questions
All the knowledge to apply analytics in a business context
A certificate of completion
Access to all future course updates
And we are happy to offer an unconditional 30-day money-back in full guarantee. No risk for you. The content of the course is excellent, and this is a no-brainer for us, as we are certain you will love it.
Why wait? Every day is a missed opportunity.
Click the “Buy Now” button and become a part of our business analytics program today.
Who this course is for:
People who want a successful career in Business
Business executives
Ambitious managers
Individuals who want to start their own company, but have not had the necessary business training
Business intelligence analysts
Financial analysts
Anyone who wants to understand how to measure business performance

What you'll learn

Acquire business acumen

Build a strategic plan of how your business (or your employer's business) can leverage data for superior performance

Be able to understand how to measure business performance

Learn from a professional with a proven track record and valuable experience

Become familiar with modern business analytics techniques

Understand stakeholder mapping

Learn about end-to-end process mapping

Develop an understanding of the H2R, R2R, S2P , O2C end-to-end processes in a corporation

Identify key value drivers

Compare metrics vs KPIs

Define metrics

Perform benchmarking

Learn about the imoprtance of the Master Data function

Carry out historical analysis, variance analysis, trend analysis, value-based analysis, correlation, time series, regression, as well as machine and deep learning analysis

Acquire an understanding of how to manage an analytics project

Gain an understanding of what makes for a successful analytics project

Requirements

  • You will need a copy of Adobe XD 2019 or above. A free trial can be downloaded from Adobe.
  • No previous design experience is needed.
  • No previous Adobe XD skills are needed.

Course Content

27 sections • 95 lectures
Expand All Sections
1-Setting the scene
6
1.1-What does the course cover?
1.2-Managing expectations of different stakeholder groups
1.3-Preparing an annual business plan and a long-range plan
1.4-Expectations
1.5-Analytics vs analysis
1.6-Long range plan and Annual business plan (ABP)
2-Understanding your business
6
2.1-Section intro
2.2-Stakeholder mapping
2.3-Defining business intelligence
2.4-End-to-end process mapping (part 1)
2.5-End-to-end process mapping (part 2)
2.6-Understanding your business
3-An in-depth view of end-to-end processes in a corporation
6
3.1-Hire-to-retire (H2R)
3.2-Source-to-Pay (S2P)
3.3-Record-to-report (R2R)
3.4-Order-to-Cash (O2C)
3.5-Global process owners - Conclusion
3.6-Global process owners
4-Target setting
7
4.1-Identifying a firm's key value drivers
4.2-Metrics vs KPIs
4.3-Define your metrics
4.4-The benchmarking exercise
4.5-The importance of data
4.6-The master data governance function
4.7-Target setting
5-Maturity stages in analytics
6
5.1-Section intro
5.2-Descriptive analytics
5.3-Diagnostic analytics
5.4-Predictive analytics
5.5-Prescriptive analytics
5.6-Maturity stages
6-Analytics techniques in practice
17
6.1-Section intro
6.2-Trend analysis
6.3-Trend analysis in Excel
6.4-Comparative analysis
6.5-Comparative analysis in Excel
6.6-Value-based analysis
6.7-Value-based analysis in Excel
6.8-Correlation analysis
6.9-Correlation analysis in Excel
6.10-Time series analysis
6.11-Time series analysis in Excel
6.12-Regression analysis
6.13-Regression analysis in Excel
6.14-Machine learning analysis
6.15-Natural language processing
6.16-Analytics in practice - Conclusion
6.17-Analytics techniques in practice
7-Analytics life cycle
10
7.1-Section intro
7.2-Hypothesis development
7.3-Situational analysis
7.4-Building a RACI matrix
7.5-What makes for a successful project?
7.6-Current state analysis
7.7-Blueprint and design
7.8-Build and test
7.9-Build and test: Step-by-step
7.10-Deploy and operationalise
8-Data visualization
1
8.1-Data visualization
9-Practical case study
3
9.1-Practical case study (part 1)
9.2-Practical case study (part 2)
9.3-Completing 100%